Displaying results 1 - 4 of 4
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Development and Evaluation of a Data-adaptive Algorithm for Univariate Temporal Biosurveillance Data
Content Type: Abstract
Numerous recent papers have evaluated algorithms for biosurveillance anomaly detection. Common essential problems in the disparate, evolving data environment include trends, day-of-week effects, and other systematic behavior.… read more… 2007, Statistics in Medicine, available at http://www3.interscience.wiley.com/cgi- bin/fulltext/114131913/PDFSTART. 2. Brillman JC, … -
Implementation and Comparison of Preprocessing Methods for Biosurveillance Data
Content Type: Abstract
Modern biosurveillance relies on multiple sources of both prediagnostic and diagnostic data, updated daily, to discover disease outbreaks. Intrinsic to this effort are two assumptions: (1) the data being analyzed contain early indicators… read more… singularities” and will falsely report outbreaks when com- paring new counts to past low holiday values (2). … 25. CDC: CDC Syndromic Surveillance site 2006, [http://www. cdc.gov/mmwr/pdf/wk/mm54su01.pdf ]. 26. Farrington C, … Informatics and Decision Making 2005, 5:4:1–14, [http://www.biomedcentral.com/content/pdf/ 1472- 6947- 5- 4.pdf]. … -
Data-Adapted Temporal Alerting Algorithms for Routine Health Monitoring
Content Type: Abstract
This paper discusses selection of temporal alerting algorithms for syndromic surveillance to achieve reliable detection performance based on statistical properties and the epidemiological context of the input data. We used quantities calculated from… read more… alerting algorithms involve four steps: preconditioning, com- putation of expected values, computation of test sta- … -
The Development of Virtual Data for Syndromic Surveillance Exercises
Content Type: Abstract
On 27 April 2005, a simulated bioterrorist event—the aerosolized release of Francisella tularensis in the men’s room of luxury box seats at a sports stadium—was used to exercise the disease surveillance capability of the National Capital Region (NCR… read more… utili- zation behavior model at a time dependent on symp- tom onset and duration and at a location based on the …